Tracking and identifying system for infectious disease contact trajectory in crowded area

Abstract

The invention relates to the technical field of infectious disease control, and discloses a crowded area infectious disease contact trajectory tracking identification system, which comprises a multi-source data fusion module, a comprehensive risk analysis module and a control intervention module, the comprehensive risk analysis module is used for calculating a first-class infection risk index and a second-class infection risk index, and sending a signal to the control intervention module for infection control intervention; dynamic risk comprehensive assessment and prediction are carried out in combination with an actual environment, the infection probability of personnel in different scenes is accurately quantified, high-risk crowds and places are rapidly identified, isolation and detection resource allocation are optimized, unnecessary prevention and control cost is reduced, efficiency is high, a propagation chain can be blocked in time, further diffusion of infectious diseases is avoided, and panic of personnel is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of infectious disease control, and in particular to a system for tracking and identifying contact trajectories of infectious diseases in densely populated areas. Background Art

[0002] Human infectious diseases are diseases caused by pathogens (such as bacteria, viruses, and parasites) that can spread from person to person. Their definition is based on the pathogen's infectivity and transmissibility. These diseases not only threaten individual health, causing fever, fatigue, organ damage, and even death, but can also trigger large-scale epidemics, causing social panic, a squeeze on medical resources, and economic losses, far exceeding the harm of ordinary diseases. Infectious diseases have always been associated with humans. Early on, they often originated in animals (such as plague and rabies) or were accelerated by environmental changes (such as malaria, which is transmitted by mosquitoes) and human activities (such as population mobility and urbanization). Some viruses may pose new threats through genetic mutations or cross-species transmission (such as avian influenza and the new coronavirus). Therefore, infectious diseases are both a product of the interaction between the natural ecosystem and humans and a major challenge that the public health system must continuously address.

[0003] Crowded areas are high-risk places for the spread of infectious diseases. These areas have high mobility and frequency of contact. The existing methods generally directly screen all people who have had spatial interactions with infected people to determine whether they are infected. This makes it impossible to accurately predict the risk of people interacting with infectious diseases, and it is impossible to accurately predict the infection index based on the current interaction environment. This results in a large and inefficient infection risk screening task, which leads to the further spread of infectious diseases and easily causes panic. Summary of the Invention

[0004] (1) Technical problems solved In response to the shortcomings of the existing technology, the present invention provides an infectious disease contact trajectory tracking and identification system in densely populated areas. The system has the advantages of realizing dynamic risk comprehensive assessment in combination with the actual environment, accurately quantifying the infection probability of people in different scenarios, quickly identifying high-risk groups and places, optimizing the allocation of isolation and testing resources, reducing unnecessary prevention and control costs, accurately locking in high-risk groups, prioritizing the screening of potential infected persons, and realizing accurate prediction of infectious disease risks. It has high efficiency, timely blocking the transmission chain, avoiding the further spread of infectious diseases, and reducing panic among people.

[0005] (2) Technical solution To achieve the above objectives, the present invention provides the following technical solutions: a system for tracking and identifying infectious disease contact trajectories in densely populated areas, comprising a multi-source data fusion module, a comprehensive risk analysis module, and a control and intervention module; The multi-source data fusion module is used to obtain the movement trajectory data of the patient, and obtain a type of spatiotemporal matching index of people in the area corresponding to the movement trajectory through the movement trajectory data; The comprehensive risk analysis module includes a first-class infection analysis unit and a second-class infection analysis unit. The first-class infection analysis unit is used to obtain spatial environment data interacting with the patient, calculate a first-class spatial environment index and a first-class infection risk index, mark people in the same area as first-class infection risk people based on the first-class infection risk index, and send a first-class infection risk warning to the control intervention module; The second-class infection analysis unit is used to obtain the spatial environment data of the interaction of the first-class infection risk personnel based on the movement trajectory data of the first-class infection risk personnel, and calculate the second-class infection risk index, mark the personnel whose second-class infection risk index reaches the second-class infection risk index threshold as the second-class infection risk personnel, and send the second-class infection risk warning to the control intervention module; The control intervention module is used to perform infection control intervention according to the received signal.

[0006] Preferably, the movement trajectory data includes the location data of the infected person located by the camera, the consumption data of the infected person located by the smart payment system, the movement data of the infected person located by the mobile phone positioning system, the traffic data of the infected person recorded by the traffic checkpoint, and the route data recalled by the infected person himself. The numbering formula of the movement trajectory data is: , in the expression, Represents the first action trajectory data, Representative Action trajectory data.

[0007] Preferably, the space-time matching index The calculation formula is:

[0008] In the calculation formula, Y represents the calculation result of a type of space-time matching index, Represents the interaction time of the patient in the area corresponding to the action trajectory data, Represents the distance from the patient in the area corresponding to the movement trajectory data, Represents a safe distance for infectious diseases.

[0009] Preferably, the spatial environment data is spatial environment data of interactions with patients or persons at risk of infection, and the numbering representation of the spatial environment data is: , in the expression, Represents the area of ​​space, stands for air circulation index, represents the ventilation area, Represents the temperature and humidity of the space, Representative population density.

[0010] Preferably, the space environment index The calculation formula is:

[0011] In the calculation formula, Represents the calculation result of a type of space environment index, 、 、 、 、 The actual space area representing the space where the patient interacts, air circulation index, ventilation area, space temperature and humidity, and personnel density, 、 、 、 、 The standard values ​​of the space area, air circulation index, ventilation area, space temperature and humidity, and personnel density representing the space where the patient interacts. 、 、 、 、 The weights representing the spatial area of ​​the space that interacts with the sick person, air circulation index, ventilation area, spatial temperature and humidity, and occupant density.

[0012] Preferably, the infection risk index The calculation formula is:

[0013] In the calculation formula, represents a type of infection risk index, Represents a type of space-time matching index The weight of Represents a type of spatial environment index The weight of When the infection risk index When the calculated value is greater than the first-class infection risk index threshold, the corresponding person will be marked as a first-class infection risk person.

[0014] Preferably, the second type of infection risk index The calculation formula is:

[0015] In the calculation formula, represents the calculated value of the second-category infection risk index, represents the second-class space-time matching index, represents the weight of the second-class space-time matching index, Represents the second-class spatial environment index, Represents the weight of the second-category spatial environment index.

[0016] Preferably, the second type of space-time matching index The calculation formula is:

[0017] In the calculation formula, represents the second-class space-time matching index, Represents the interaction time of the first-class infection risk personnel in the area corresponding to the movement trajectory data, Represents the distance from the first-class infection risk personnel in the area corresponding to the movement trajectory data, Represents a safe distance for infectious diseases; The second category space environment index The calculation formula is:

[0018] In the calculation formula, Represents the calculation results of the second category space environment index, 、 、 、 、 Represents the actual space area, air circulation index, ventilation area, space temperature and humidity, and population density of the space that interacts with the first-class infectious risk personnel. 、 、 、 、 Represents the standard values ​​of space area, air circulation index, ventilation area, space temperature and humidity, and personnel density of the space interacting with the first-class infectious risk personnel. 、 、 、 、 Represents the weight of the space area, air circulation index, ventilation area, space temperature and humidity, and personnel density of the space that interacts with a type of infectious risk personnel.

[0019] Preferably, when the second category infection risk index When the calculated value is greater than the second-category infection risk index threshold, the corresponding person will be marked as a second-category infection risk person.

[0020] Preferably, when receiving a Class I infectious risk warning or a Class II infectious risk warning, the control intervention module obtains the location information of the current risk personnel and feeds it back to the nearest epidemic prevention department for personnel removal intervention.

[0021] Compared with the existing technology, the present invention provides a system for tracking and identifying infectious disease contact trajectories in densely populated areas, which has the following beneficial effects: 1. By integrating multi-source information such as camera positioning, smart payment, mobile phone positioning, traffic checkpoints, and patient recall, this invention can accurately restore the activity paths and contact networks of infected people, quickly identify close contacts and high-risk scenarios, thereby optimizing isolation and detection strategies, shortening the response time for infectious disease infection, and reducing the waste of prevention and control resources; at the same time, multi-dimensional data cross-validation can improve the accuracy of risk screening, avoid missed detections or misjudgments, reduce social costs, and achieve efficient, accurate, and humane infectious disease prevention and control.

[0022] 2. This invention combines action trajectory data with spatial environment data to achieve dynamic risk comprehensive assessment, accurately quantify the probability of infection of people in different scenarios, quickly identify high-risk groups and places, optimize isolation and detection resource allocation, reduce unnecessary prevention and control costs, and use a class of infectious risk index , Category II infection risk index Prediction can achieve comprehensive risk assessment of different contacts, accurately identify high-risk groups, prioritize screening of potential infected persons, achieve accurate prediction of infectious disease risks, be highly efficient, and timely block the transmission chain to avoid the further spread of infectious diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] See also Figure 1 ,A system for tracking and identifying contact trajectories of infectious diseases in densely populated areas, including a multi-source data fusion module, a comprehensive risk analysis module, and a control and intervention module; The multi-source data fusion module is used to obtain the movement trajectory data of the patient and obtain a type of spatiotemporal matching index of the people in the corresponding area of ​​the movement trajectory through the movement trajectory data; Movement trajectory data includes the location data of infected persons located by cameras, the consumption data of infected persons located by smart payment systems, the movement data of infected persons located by mobile phone positioning systems, the traffic data of infected persons recorded by traffic checkpoints, and the route data recalled by infected persons themselves. The numbering formula of movement trajectory data is: , in the expression, Represents the first action trajectory data, Representative Action trajectory data; By integrating multi-source information such as camera positioning, smart payment, mobile phone positioning, traffic checkpoints, and patient recall, movement trajectory data can accurately restore the movement paths and contact networks of infected individuals, quickly identify close contacts and high-risk scenarios, and thus optimize isolation and detection strategies, shorten infectious disease infection response time, and reduce the waste of prevention and control resources. At the same time, multi-dimensional data cross-validation can improve the accuracy of risk screening, avoid missed detections or misjudgments, reduce social costs, and achieve efficient, accurate, and humane infectious disease prevention and control. A type of space-time matching index The calculation formula is:

[0026] In the calculation formula, Y represents the calculation result of a type of space-time matching index, Represents the interaction time of the patient in the area corresponding to the action trajectory data, Represents the distance from the patient in the area corresponding to the movement trajectory data, Represents a safe distance for infectious diseases; The comprehensive risk analysis module includes a Class I infection analysis unit and a Class II infection analysis unit. The Class I infection analysis unit is used to obtain spatial environment data of the patient's interaction with the patient and calculate a Class I spatial environment index and a Class I infection risk index. Based on the Class I infection risk index, people in the same area are marked as Class I infection risk individuals and a Class I infection risk warning is sent to the control and intervention module. The spatial environment data refers to the spatial environment data that interacts with patients or people with a certain level of infectious risk. The numbering formula of the spatial environment data is: , in the expression, Represents the area of ​​space, stands for air circulation index, represents the ventilation area, Represents the temperature and humidity of the space, Representative density; Class I space environment index The calculation formula is:

[0027] In the calculation formula, Represents the calculation result of a type of space environment index, 、 、 、 、 The actual space area representing the space where the patient interacts, air circulation index, ventilation area, space temperature and humidity, and personnel density, 、 、 、 、 The standard values ​​of the space area, air circulation index, ventilation area, space temperature and humidity, and personnel density representing the space where the patient interacts. 、 、 、 、 The weights representing the spatial area of ​​the space that interacts with the sick person, air circulation index, ventilation area, spatial temperature and humidity, and occupancy density; Category I infection risk index The calculation formula is:

[0028] In the calculation formula, represents a type of infection risk index, Represents a type of space-time matching index The weight of Represents a type of spatial environment index The weight of When a class of infection risk index When the calculated value of is greater than the first-class infection risk index threshold, the corresponding person will be marked as a first-class infection risk person; Combining movement trajectory data with spatial environment data enables dynamic risk assessment, accurately quantifying the probability of infection in different scenarios. This allows for rapid identification of high-risk groups and locations, optimizing the allocation of isolation and testing resources, and reducing unnecessary prevention and control costs. Furthermore, by predicting individual risk indices, it can provide early warning of potential transmission chains and guide targeted interventions, thereby improving prevention and control efficiency, reducing the risk of epidemic spread, and balancing public health safety with socioeconomic activities. The second-class infection analysis unit is used to obtain the spatial environment data of the interaction of the first-class infection risk personnel based on the movement trajectory data of the first-class infection risk personnel, and calculate the second-class infection risk index. The personnel whose second-class infection risk index reaches the second-class infection risk index threshold are marked as second-class infection risk personnel, and a second-class infection risk warning is sent to the control intervention module; Category II infection risk index The calculation formula is:

[0029] In the calculation formula, represents the calculated value of the second-category infection risk index, represents the second-class space-time matching index, represents the weight of the second-class space-time matching index, Represents the second-class spatial environment index, represents the weight of the second category spatial environment index; Second type of space-time matching index The calculation formula is:

[0030] In the calculation formula, represents the second-class space-time matching index, Represents the interaction time of the first-class infection risk personnel in the area corresponding to the movement trajectory data, Represents the distance from the first-class infection risk personnel in the area corresponding to the movement trajectory data, Represents a safe distance for infectious diseases; Second category space environment index The calculation formula is:

[0031] In the calculation formula, Represents the calculation results of the second category space environment index, 、 、 、 、 Represents the actual space area, air circulation index, ventilation area, space temperature and humidity, and population density of the space that interacts with the first-class infectious risk personnel. 、 、 、 、 Represents the standard values ​​of space area, air circulation index, ventilation area, space temperature and humidity, and personnel density of the space interacting with the first-class infectious risk personnel. 、 、 、 、 The weights representing the space area, air circulation index, ventilation area, space temperature and humidity, and population density of the space that interacts with the first-class infectious risk personnel; When the second category infection risk index When the calculated value of is greater than the second-category infection risk index threshold, the corresponding person will be marked as a second-category infection risk person; Through a class of infectious risk index , Category II infection risk index Prediction enables comprehensive risk assessment of different contacts, accurately identifies high-risk groups, prioritizes screening of potential infected persons, blocks the transmission chain, and prevents the further spread of infectious diseases; When the control intervention module receives a Class I or Class II infection risk warning, it obtains the location information of the current risk personnel and feeds it back to the nearest epidemic prevention department for personnel removal intervention.

[0032] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A system for tracking and identifying infectious disease contact trajectories in densely populated areas, characterized by: It includes multi-source data fusion module, comprehensive risk analysis module and control intervention module; The multi-source data fusion module is used to obtain the movement trajectory data of the patient, and obtain a type of spatiotemporal matching index of people in the area corresponding to the movement trajectory through the movement trajectory data; The comprehensive risk analysis module includes a first-class infection analysis unit and a second-class infection analysis unit. The first-class infection analysis unit is used to obtain spatial environment data interacting with the patient, calculate a first-class spatial environment index and a first-class infection risk index, mark people in the same area as first-class infection risk people based on the first-class infection risk index, and send a first-class infection risk warning to the control intervention module; The second-class infection analysis unit is used to obtain the spatial environment data of the interaction of the first-class infection risk personnel based on the movement trajectory data of the first-class infection risk personnel, and calculate the second-class infection risk index, mark the personnel whose second-class infection risk index reaches the second-class infection risk index threshold as the second-class infection risk personnel, and send the second-class infection risk warning to the control intervention module; The control intervention module is used to perform infection control intervention according to the received signal.

2. The infectious disease contact tracking and identification system for densely populated areas according to claim 1, characterized in that: The movement trajectory data includes the location data of the infected person located by the camera, the consumption data of the infected person located by the smart payment system, the movement data of the infected person located by the mobile phone positioning system, the traffic data of the infected person recorded by the traffic checkpoint, and the route data recalled by the infected person himself. The numbering formula of the movement trajectory data is: [X1, X2, X3, . . ., X n ], in which X1 represents the first action trajectory data, and Xn represents the nth action trajectory data.

3. The infectious disease contact tracking and identification system for densely populated areas according to claim 2, characterized in that: The calculation formula of the type of space-time matching index Skpp is: YSkpp=T*(JL-Bj) In the calculation formula, YSkpp represents the calculation result of a type of spatiotemporal matching index, T represents the interaction time with the patient in the area corresponding to the movement trajectory data, JL represents the distance from the patient in the area corresponding to the movement trajectory data, and Bj represents the safe distance for infectious diseases.

4. The infectious disease contact tracking and identification system for densely populated areas according to claim 3, characterized in that: The spatial environment data refers to the spatial environment data of individuals interacting with patients or individuals at risk of infection. The spatial environment data is represented by the numbering formula: [Kmj, Kkl, Ktm, Kws, Xrm], where Kmj represents the spatial area, Kkl represents the air circulation index, Ktm represents the ventilation opening area, Kws represents the spatial temperature and humidity, and Xrm represents the occupant density.

5. The infectious disease contact tracking and identification system for densely populated areas according to claim 4, characterized in that: The calculation formula of the first type of space environment index YKhzs is: In the calculation formula, YKhzs represents the calculation result of a type of spatial environment index; YKm, YKkl, YKtm, YKws, and YXrm represent the actual spatial area of ​​the space for interacting with the sick, the air circulation index, the ventilation area, the spatial temperature and humidity, and the population density; BYKmj, BYKkl, BYKtm, BYKws, and BYXrm represent the standard values ​​of the spatial area of ​​the space for interacting with the sick, the air circulation index, the ventilation area, the spatial temperature and humidity, and the population density; α1, α2, α3, α4, and α5 represent the weights of the spatial area of ​​the space for interacting with the sick, the air circulation index, the ventilation area, the spatial temperature and humidity, and the population density.

6. The infectious disease contact tracking and identification system for densely populated areas according to claim 5, characterized in that: The calculation formula of the first type of infection risk index YLcr is: YLcr=(β1*YSkpp)*(β2*YKhzs) In the calculation formula, YLcr represents a type of infection risk index, β1 represents the weight of a type of spatiotemporal matching index YSkpp, and β2 represents the weight of a type of spatial environment index YKhzs; When the calculated value of the first-class infection risk index YLcr is greater than the first-class infection risk index threshold, the corresponding person is marked as a first-class infection risk person.

7. The infectious disease contact tracking and identification system for densely populated areas according to claim 6, characterized in that: The calculation formula of the second type of infection risk index ELcr is: ELcr=(γ1*ESkpp)*(γ2*EKhzs) In the calculation formula, ELcr represents the calculated value of the second-category infection risk index, ESkpp represents the second-category space-time matching index, γ1 represents the weight of the second-category space-time matching index, EKhzs represents the second-category spatial environment index, and γ2 represents the weight of the second-category spatial environment index.

8. The infectious disease contact trajectory tracking and identification system for densely populated areas according to claim 7, characterized in that: The calculation formula of the second type of space-time matching index ESkpp is: ESkpp=t*(jl-Bj) In the calculation formula, ESkpp represents the second-class spatiotemporal matching index, t represents the interaction time with the first-class infectious risk personnel in the area corresponding to the action trajectory data, jl represents the distance to the first-class infectious risk personnel in the area corresponding to the action trajectory data, and Bj represents the safe distance for infectious diseases; The calculation formula of the second-class space environment index EKhzs is: In the calculation formula, EKhzs represents the calculation result of the second-category space environment index; EKm, EKkl, EKtm, EKws, and EXrm represent the actual spatial area of ​​the space interacting with the first-category infectious risk personnel, the air circulation index, the ventilation area, the spatial temperature and humidity, and the population density; BEKmj, BEKkl, BEKtm, BEKws, and BEXrm represent the standard values ​​of the spatial area, air circulation index, ventilation area, spatial temperature and humidity, and population density of the space interacting with the first-category infectious risk personnel; θ1, θ2, θ3, θ4, and θ5 represent the weights of the spatial area, air circulation index, ventilation area, spatial temperature and humidity, and population density of the space interacting with the first-category infectious risk personnel.

9. The infectious disease contact tracking and identification system in densely populated areas according to claim 8, characterized in that: When the calculated value of the second-category infection risk index ELcr is greater than the second-category infection risk index threshold, the corresponding person will be marked as a second-category infection risk person.

10. The infectious disease contact trajectory tracking and identification system in densely populated areas according to claim 9, characterized in that: When receiving a Class I infectious risk warning or a Class II infectious risk warning, the control intervention module obtains the location information of the current risk personnel and feeds it back to the nearest epidemic prevention department for personnel removal intervention.

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